Ronghui Mu - RankMe

34 papers A* 9A 1Misc 1Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. AAAI Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu
2026	J	`jnl`	Confusion-Aware Spectral Regularizer for Long-Tailed Recognition. CoRR Ziquan Zhu, Gaojie Jin, Hanruo Zhu, Si-Yuan Lu, Yunxiao Zhang, Zeyu Fu, Ronghui Mu, Guoqiang Zhang, Zhao Sun, Xia Yuhang, Jiaxing Shang, Xiang Li, Lu Liu, Tianjin Huang
2025	J	`jnl`	CluCERT: Certifying LLM Robustness via Clustering-Guided Denoising Smoothing. CoRR Zixia Wang, Gaojie Jin, Jia Hu, Ronghui Mu
2025	A*	`conf`	Enhancing Robust Fairness via Confusional Spectral Regularization. ICLR Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
2025	J	`jnl`	Enhancing Robust Fairness via Confusional Spectral Regularization. CoRR Gaojie Jin, Sihao Wu, Jiaxu Liu, Tianjin Huang, Ronghui Mu
2025	J	`jnl`	Invariant Correlation of Representation With Label. IEEE Trans. Inf. Forensics Secur. Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang
2025	J	`jnl`	POT: Inducing Overthinking in LLMs via Black-Box Iterative Optimization. CoRR Xinyu Li, Tianjin Huang, Ronghui Mu, Xiaowei Huang, Gaojie Jin
2025	J	`jnl`	Principal Eigenvalue Regularization for Improved Worst-Class Certified Robustness of Smoothed Classifiers. CoRR Gaojie Jin, Tianjin Huang, Ronghui Mu, Xiaowei Huang
2025	J	`jnl`	Safeguarding large language models: a survey. Artif. Intell. Rev. Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
2025	A*	`conf`	Safety of Embodied Navigation: A Survey. IJCAI Zixia Wang, Jia Hu, Ronghui Mu
2025	J	`jnl`	Safety of Embodied Navigation: A Survey. CoRR Zixia Wang, Jia Hu, Ronghui Mu
2025	J	`jnl`	ThermoRL:Structure-Aware Reinforcement Learning for Protein Mutation Design to Enhance Thermostability. CoRR Xiangwen Wang, Gaojie Jin, Xiaowei Huang, Ronghui Mu
2024	J	`jnl`	3DVerifier: efficient robustness verification for 3D point cloud models. Mach. Learn. Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
2024	J	`jnl`	A survey of safety and trustworthiness of large language models through the lens of verification and validation. Artif. Intell. Rev. Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2024	J	`jnl`	Building Guardrails for Large Language Models. CoRR Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
2024	Misc	`conf`	DeepGRE: Global Robustness Evaluation of Deep Neural Networks. ICASSP Tianle Zhang, Jiaxu Liu, Yanghao Zhang, Ronghui Mu, Wenjie Ruan
2024	J	`jnl`	Enhancing robustness in video recognition models: Sparse adversarial attacks and beyond. Neural Networks Ronghui Mu, Leandro Soriano Marcolino, Qiang Ni, Wenjie Ruan
2024	J	`jnl`	Invariant Correlation of Representation with Label. CoRR Gaojie Jin, Ronghui Mu, Xinping Yi, Xiaowei Huang, Lijun Zhang
2024	J	`jnl`	Nrat: towards adversarial training with inherent label noise. Mach. Learn. Zhen Chen, Fu Wang, Ronghui Mu, Peipei Xu, Xiaowei Huang, Wenjie Ruan
2024	A*	`conf`	PRASS: Probabilistic Risk-averse Robust Learning with Stochastic Search. IJCAI Tianle Zhang, Yanghao Zhang, Ronghui Mu, Jiaxu Liu, Jonathan E. Fieldsend, Wenjie Ruan
2024	A*	`conf`	Position: Building Guardrails for Large Language Models Requires Systematic Design. ICML Yi Dong, Ronghui Mu, Gaojie Jin, Yi Qi, Jinwei Hu, Xingyu Zhao, Jie Meng, Wenjie Ruan, Xiaowei Huang
2024	A*	`conf`	Reward Certification for Policy Smoothed Reinforcement Learning. AAAI Ronghui Mu, Leandro Soriano Marcolino, Yanghao Zhang, Tianle Zhang, Xiaowei Huang, Wenjie Ruan
2024	J	`jnl`	Safeguarding Large Language Models: A Survey. CoRR Yi Dong, Ronghui Mu, Yanghao Zhang, Siqi Sun, Tianle Zhang, Changshun Wu, Gaojie Jin, Yi Qi, Jinwei Hu, Jie Meng, Saddek Bensalem, Xiaowei Huang
2024	A*	`conf`	Towards Fairness-Aware Adversarial Learning. CVPR Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan
2024	J	`jnl`	Towards Fairness-Aware Adversarial Learning. CoRR Yanghao Zhang, Tianle Zhang, Ronghui Mu, Xiaowei Huang, Wenjie Ruan
2023	J	`jnl`	A Survey of Safety and Trustworthiness of Large Language Models through the Lens of Verification and Validation. CoRR Xiaowei Huang, Wenjie Ruan, Wei Huang, Gaojie Jin, Yi Dong, Changshun Wu, Saddek Bensalem, Ronghui Mu, Yi Qi, Xingyu Zhao, Kaiwen Cai, Yanghao Zhang, Sihao Wu, Peipei Xu, Dengyu Wu, André Freitas, Mustafa A. Mustafa
2023	A*	`conf`	Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. AAAI Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
2023	A*	`conf`	Randomized Adversarial Training via Taylor Expansion. CVPR Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
2023	J	`jnl`	Randomized Adversarial Training via Taylor Expansion. CoRR Gaojie Jin, Xinping Yi, Dengyu Wu, Ronghui Mu, Xiaowei Huang
2023	J	`jnl`	Reward Certification for Policy Smoothed Reinforcement Learning. CoRR Ronghui Mu, Leandro Soriano Marcolino, Tianle Zhang, Yanghao Zhang, Xiaowei Huang, Wenjie Ruan
2022	J	`jnl`	3DVerifier: Efficient Robustness Verification for 3D Point Cloud Models. CoRR Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
2022	J	`jnl`	Certified Policy Smoothing for Cooperative Multi-Agent Reinforcement Learning. CoRR Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Gaojie Jin, Qiang Ni
2021	A	`conf`	Sparse Adversarial Video Attacks with Spatial Transformations. BMVC Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni
2021	J	`jnl`	Sparse Adversarial Video Attacks with Spatial Transformations. CoRR Ronghui Mu, Wenjie Ruan, Leandro Soriano Marcolino, Qiang Ni